The session began with Kasper Hancke (SeaBee Lead, Project coordinator) giving an introductory speech, explaining practical information, the program, and meeting expectations. Each Work Package lead presented their work so far, the challenges they've faced, and future progression.
Updates from WP1: Drone Infrastructure Specification & Establishment
WP 1 has purchased vital equipment, including flying, surface and underwater drones. They've also purchased RGB, IR, Multi- and hyperspectral sensors along with ground truthing and calibration equipment. The next step for the project will be to specify and purchase both "smaller" and "larger" vertical take-off and landing (VTOL) drones. VTOL drones are a type of drone that can take off and land without needing much space, making them ideal for difficult terrain.
Updates from WP2: Establishing Operational Nodes & Drone Operations
SeaBee is operational! The Norwegian University of Science and Technology (NTNU) are in the process of setting up to fly under their own license. Currently, the WP is working on the organization of drone operations, education and the drone mission logbook. Work Package 2 is going to be busy working on making sure that the SeaBee drone pilots are trained to meet upcoming new drone regulations. The plan for this coming year is to finalize the Operation Manual to meet SeaBee's needs. An important but challenging next step is to establish a drone logbook that works for all types of drones that SeaBee uses, including surface and underwater drones.
Updates from WP3: Data Analysis
The Beta model used for classification of habitat mapping and bird identification is in place, and an Internal (NR/analysis) image classification pipeline is in place. WP3's next steps include the need to evaluate and decide on an annotation tool for machine learning training, testing and evaluating new data that's been collected from NINA, HI, and NIVA. WP3 has also identified the need to integrate and work more closely with WP4. WP3 also plans on conducting test runs to include hyperspectral data for classification.
Updates from WP4: Data Storage & Sharing
Good news, the SeaBee “Dummy” database has been deployed! WP4 is currently making a plan for evaluating data storage solutions and data platforms. The next steps include finalising the Data Management Plan (DMP) and make the decision of whether SIGMA can provide the data platform SeaBee needs. WP4 will also start developing a cloud-based map solution or data visualization. This will be a collaborative work between GRID-Arendal and NIVA.
Updates from WP5: Drone Data Product Validation
WP5 has been busy! The first field campaigns have been completed, looking at seafloor habitats, sea birds and mammals. Ortomosaic images have been generated and are ready for classification. The next step for WP5 will be the annotation of image data for machine learning classification. WP5 is making final decisions on fieldwork locations and tasks in 2022, keeping the aim of SeaBee's overall applications in mind. The plan is to have a first draft of a protocol for field validation (ground truthing) of drone images ready.
Updates from WP6: Communication Outreach & Branding
WP6 has set up the SeaBee webpage, updating and adding sections throughout the year. The SeaBee media strategy has also been completed. The next steps include the further development of the website and adding more stories and content. We also want to develop a Plan for Exploitation and Dissemination of Results (PEDR), making sure information and results from the project is communicated effectively and to the right people. This will be a collaborative task with all the Work Packages.